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dc.contributor.authorMacDonell, SG
dc.date.accessioned2012-05-17T17:40:32Z
dc.date.available2012-05-17T17:40:32Z
dc.date.copyright1991-08
dc.date.issued2012-05-18
dc.identifier.citationSigplan Notices, vol.26(8), pp.137 - 144
dc.identifier.issn0362-1340
dc.identifier.urihttp://hdl.handle.net/10292/4199
dc.description.abstractThis paper reports the results of an experiment to illustrate the hazards of using correlation data as the sole determinant for software metric use and validation. Three widely cited complexity metrics have been examined in relation to the frequency of software development errors.
dc.publisherACM
dc.relation.urihttp://dx.doi.org/10.1145/122598.122613
dc.rightsCopyright © ACM, 1991. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in (see citation), (see Publisher’s Version).
dc.subjectSoftware science
dc.titleReliance on correlation data for complexity metric use and validation
dc.typeJournal Article
dc.rights.accessrightsOpenAccess
dark.contributor.authorMacDonell, S
aut.relation.endpage144
aut.relation.issue8
aut.relation.startpage137
aut.relation.volume26


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